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Automatic composition of Web services with contingency plans

Automatic composition of Web services with contingency plans

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IEEE International Conference on Web Services (ICWS)

作者： L.A.G. da Costa P.F. Pires M. Mattoso COPPE-Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil DCC-IM/NCE Federal University of Rio de Janeiro Rio de Janeiro Brazil

The semantic Web technology and the Web services description language extensibility may be combined to describe services in an unambiguous and machine interpretable way, automating Web services discovery, selection and invocation. In this paper, we present an algorithm and a prototype for the automatic composition of Web services that implement workflows described in a high level language. Our approach has many advantages comparing to the manual creation of a simple program composition, such as smaller implementation time and cost, reliability with the generation of contingency plans, greater capacity to evolve with the dynamic service discovery, and faster execution time with the use of heuristics. We use the OWLS ontology to semantically describe Web services metadata and indexes to help selecting them. The proposed algorithm considers that equivalent services may have different interfaces and also respects preferences of the users.

关键词： Web services Semantic Web Ontologies programming profession Prototypes Robustness systems engineering and theory computer science High level languages Costs

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Evaluating the DSMIO cache-coherence algorithm in cluster-based parallel ODBMS 8th

引用

8th International Conference on Object-Oriented Information systems, OOIS 2002

作者： Osthoff, Carla Bentes, Cristiana Ariosto, Daniel Mattoso, Marta Amorim, Claudio L. Computer Science Department LNCC Spain Systems Engineering Department UERJ Spain Computer Science Department COPPE/UFRJ Spain

ISBN: (纸本)3540440879

In this paper, we assess the performance of DSMIO cachecoherence algorithm implemented in a parallel object-based database management system (ODBMS). The distinguishing feature of DSMIO is its use of the lazy release memory consistency model and multiplewriter protocol to reduce both the number and size of coherence messages required to keep coherent a distributed ODBMS across a cluster of PC servers. Using a large distributed database and several application workloads we evaluate DSMIO performance and also compare it against that of the well-known Call-Back Locking (CBL) algorithm. Our results showt hat both algorithms perform very well for read operations whereas DSMIO outperforms significantly CBL for write operations with DSMIO speed-ups attaining as much as 5.4 while CBL speed-ups reach at most 1.4 for an 8-node cluster. Overall, these results suggest that designers of cluster-based ODBMS should consider D. © Springer-Verlag Berlin Heidelberg 2002

关键词： Locks (fasteners)

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Validating an unsupervised weightless perceptron

Validating an unsupervised weightless perceptron

引用

International Conference on Neural Information Processing

作者： I. Wickert F.M.G. Franca Computer Systems Engineering Program COPPE-UFRJ Rio de Janeiro Brazil

The paper presents a comparison between two unsupervised neural network models: (i) the well-known fuzzy ART, and (ii) AUTOWISARD, a new unsupervised version of the classic WISARD weightless neural network model. It is shown that AUTOWISARD is simple, fast and stable, whilst keeping compatibility with the original WISARD architecture. Experimental test results over binary patterns benchmarks have shown that, although both unsupervised learning models are remarkably simple, AUTOWISARD consistently exhibits better classification skills than fuzzy ART. It is also shown that such superiority happens thanks to AU-TOWISARD's richer internal representation of the trained patterns and the training methods employed by the algorithm, such as the learning window and partial training strategies.

关键词： Subspace constraints Neurons Fuzzy control Pattern recognition Fuzzy sets Resonance Testing Fuzzy neural networks Neural networks Stability

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Fuzzy Markov predictor in electric load forecasting

Fuzzy Markov predictor in electric load forecasting

引用

International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Brazil Systems Engineering and Computer Science Program E28093 Graduate Programs in Engineering (COPPE) Federal University of Rio de Janeiro Brazil

We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to predict numerical values. The FMP can be seen as an extension of the fuzzy Bayes predictor (FBP) that was modified from the naive Bayes classifier. For verifying the efficiency of the FMP's prediction, we compare it with the FBP, one fuzzy system and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

关键词： Load forecasting Fuzzy systems Hidden Markov models Power engineering and energy Smoothing methods Niobium compounds systems engineering and theory computer science Predictive models Electric variables measurement

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AUTO WIS ARD: Unsupervised modes for the WISARD

引用

6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001

作者： Wickert, Iuri Fraņca, Felipe M. G. Computer Systems Engineering Program - COPPE UFRJ Caixa Postal 68511 21945-970 Rio de Janeiro RJ Brazil

ISBN: (纸本)3540422358

This work in traducest wo new unsupervised learning algorithms based on the WISARD weightless neural classifier model. The first one, the standard AUTOWISARD model, is able to perform fast one-shot, learning of unsorted sets of input patterns. The second oik? is a recursive version of AUTOWISARD which not only keeps the good features of the basic model, agility, plasticit v and stability', but also produces hierarc hically structured tree-lik? classifications. Although the standard A UT(WISARD model exhibits good classification skills when exposed to symbolic patterns (by producing only few classes containing patterns of different meanings), its recursive version produces even less confusing classes. The stability of both learning algorithms is also demonstrated. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Learning algorithms

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Fuzzy Bayes predictor in electric load forecasting

Fuzzy Bayes predictor in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha V.N.A.L. da Silva G.F. Ribeiro Systems Engineering and Computer Science Program Graduate Programs in Engineering COPPE Federal University of Rio de Janeiro Brazil Electric Power Research Center CEPEL CEPEL Brazil

ISBN: (纸本)0780370449

We present the fuzzy Bayes predictor (FBP), a hybrid system for the task of monthly electric load forecasting. The FBP is a modification we introduce in the naive Bayes classifier in order to enable it to predict numerical values. We consider three versions of the FBP, each one with a different dependence among the input data: independence, first-order and second-order dependence. For verifying the efficiency of the FBP's prediction, we compare it with two fuzzy systems and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

关键词： Load forecasting Fuzzy systems Power engineering and energy Smoothing methods Testing Niobium compounds systems engineering and theory computer science Predictive models Electric variables measurement

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Elastic neural net algorithm for cluster analysis

Elastic neural net algorithm for cluster analysis

引用

Brazilian Symposium on Neural Networks

作者： R.L. Salvini L.A. V. de Carvalho Program of Systems Engineering and Computer Science COPPE/UFRJ Rio de Janeiro Brazil

Proposes a method for data clustering in a n-dimensional space using the elastic net algorithm which is a variant of the Kohonen topographic map learning algorithm. The elastic net algorithm is a mechanical metaphor in which an elastic ring is attracted by points in a bi-dimensional space while their internal elastic forces try to shun the elastic expansion. The different weights associated with these two kinds of forces lead the elastic to a gradual expansion in the direction of the bi-dimensional points. In this method, the elastic net algorithm is employed with the help of a heuristic framework that improves its performance for application in the n-dimensional space of cluster analysis. Tests were made with two types of data sets: (1) simulated data sets with up to 1000 points randomly generated in groups linearly separable with up to dimension 10 and (2) the Fisher Iris Plant database, a well-known database referred to in the pattern recognition literature. The advantages of the method presented are its simplicity, its fast and stable convergence, beyond efficiency in cluster analysis.

关键词： Neural networks Clustering algorithms Algorithm design and analysis Databases Performance analysis Testing Test pattern generators Iris Pattern recognition Convergence

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Understanding the performance of DSM applications 1st

引用

1st Workshop on Communication and Architectural Support for Network-based Parallel Computing, CANPC 1997

作者： Meira, Wagner Leblanc, Thomas J. Hardavellas, Nikolaos Amorim, Clgudio Department of Computer Science University of Rochester RochesterNY14627 United States COPPE Systems Engineering UFRJ Rio de Janeiro21945-970 Brazil

ISBN: (纸本)3540625739

Carnival is a performance measurement and analysis tool that assists users in understanding the performance of DSM applications and protocols. Using traces of program executions, Carnival presents performance data as a hierarchy of execution profiles. During analysis, Carnival automates the inference process that relates performance phenomena to specific causes in the source code or DSM protocol using techniques that focus on the two most important sources of overhead in DSM systems: waiting time analysis identifies the causes of synchronization overhead, and produces an explanation for each source of waiting time in the program;communication analysis identifies the sequence of requests that result in invalidations, and produces an explanation for each source of communication. We describe these techniques and their implementation in TreadMarks, and show how to use waiting time analysis and communication analysis to improve the running time of two programs froIn the SPLASH application snite when executed on DEC Alphas connected by a DEC Memory Channel network. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Application programs

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Categorizing network traffic in update-based protocols on scalable multiprocessors

Categorizing network traffic in update-based protocols on sc...

引用

International Symposium on Parallel Processing

作者： R. Bianchini T.J. LeBlanc J.E. Veenstra COPPE Systems Engineering UFRJ Brazil Department of Computer Science University of Rochester Rochester NY USA Silicon Graphics Inc. USA

Categorizes the coherence traffic in update-based protocols and shows that, for most applications, more than 90% of all updates generated by such a protocol are unnecessary. We identify application characteristics that generate useless update traffic, and compare the isolated and combined effects of several software and hardware techniques for eliminating useless updates. These techniques include dynamic and static hybrid protocols, a data re-mapping strategy, and coalescing write buffers. Our simulations show that these techniques are effective for different types of useless updates. Overall, software caching (where dynamic data re-mapping is performed under programmer or compiler control) has the potential to significantly increase the percentage of useful traffic in applications. When software caching is not applicable, either the static or the dynamic protocol generates the least useless traffic. Although coalescing write buffers provide great reductions in the total number of messages transferred, these buffers do not necessarily increase the percentage of useful traffic.

关键词： Telecommunication traffic Protocols Application software Traffic control Character generation Hardware Software performance programming profession program processors

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Advances in Artificial Intelligence - SBIA 2008 1

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丛书名： Lecture Notes in computer science

1000年

作者： Gerson Zaverucha Augusto Loureiro Costa

ISBN: (数字)9783540881902

ISBN: (纸本)9783540881896

This book constitutes the refereed proceedings of the 19th Brazilian Symposium on Artificial Intelligence, SBIA 2008, held in Salvador, Brazil, in October 2008. The 27 revised full papers presented together with 3 invited lectures and 3 tutorials were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on computer vision and pattern recognition, distributed AI: autonomous agents, multi-agent systems and game knowledge representation and reasoning, machine learning and data mining, natural language processing, and robotics.

关键词： programming Techniques programming Languages, Compilers, Interpreters Data Mining and Knowledge Discovery Artificial Intelligence Mathematical Logic and Formal Languages Computation by Abstract Devices

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